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Continual Adaptation of Visual Representations via Domain Randomization
  and Meta-learning
v1v2 (latest)

Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning

8 December 2020
Riccardo Volpi
Diane Larlus
Grégory Rogez
    VLMOODCLL
ArXiv (abs)PDFHTML

Papers citing "Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning"

50 / 50 papers shown
CoDoL: Conditional Domain Prompt Learning for Out-of-Distribution Generalization
CoDoL: Conditional Domain Prompt Learning for Out-of-Distribution Generalization
Min Zhang
Bo Jiang
Jie Zhou
Y. Liu
Xin Lin
VLM
151
0
0
18 Sep 2025
Incremental Object Keypoint Learning
Incremental Object Keypoint LearningComputer Vision and Pattern Recognition (CVPR), 2025
Mingfu Liang
Jiahuan Zhou
Xu Zou
Ying Wu
CLL
348
1
0
26 Mar 2025
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Sheng Luo
Yi Zhou
Tao Zhou
CLL
498
0
0
10 Mar 2025
Using Diffusion Models as Generative Replay in Continual Federated
  Learning -- What will Happen?
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen?
Yongsheng Mei
Liangqi Yuan
Dong-Jun Han
Kevin S. Chan
Christopher G. Brinton
Tian-Shing Lan
371
1
0
10 Nov 2024
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization
FEED: Fairness-Enhanced Meta-Learning for Domain GeneralizationBigData Congress [Services Society] (BSS), 2024
Kai Jiang
Chen Zhao
Haoliang Wang
Feng Chen
OODFedML
281
6
0
02 Nov 2024
Improving Object Detection via Local-global Contrastive Learning
Improving Object Detection via Local-global Contrastive LearningBritish Machine Vision Conference (BMVC), 2024
Danai Triantafyllidou
Sarah Parisot
A. Leonardis
Jingyu Sun
368
2
0
07 Oct 2024
Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization
  through Explicit Multi-Domain Convex Coverage Set Learning
Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning
Wendyam Eric Lionel Ilboudo
Taisuke Kobayashi
Takamitsu Matsubara
286
0
0
07 Oct 2024
Versatile Incremental Learning: Towards Class and Domain-Agnostic
  Incremental Learning
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental LearningEuropean Conference on Computer Vision (ECCV), 2024
Min-Yeong Park
Jae-Ho Lee
Gyeong-Moon Park
CLL
370
7
0
17 Sep 2024
Incremental Open-set Domain Adaptation
Incremental Open-set Domain Adaptation
Sayan Rakshit
Hmrishav Bandyopadhyay
Nibaran Das
Biplab Banerjee
CLL
309
2
0
31 Aug 2024
Adaptive Cascading Network for Continual Test-Time Adaptation
Adaptive Cascading Network for Continual Test-Time Adaptation
Kien X. Nguyen
Fengchun Qiao
Xi Peng
TTACLLVLM
257
2
0
17 Jul 2024
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
Biqing Qi
Pengfei Li
Fangyuan Li
Junqi Gao
Kaiyan Zhang
Bowen Zhou
279
35
0
08 Jun 2024
Cross-Domain Continual Learning via CLAMP
Cross-Domain Continual Learning via CLAMP
Weiwei Weng
Mahardhika Pratama
Jie Zhang
Chen Chen
E. Yapp
Savitha Ramasamy
252
4
0
12 May 2024
Weatherproofing Retrieval for Localization with Generative AI and
  Geometric Consistency
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
Yannis Kalantidis
Mert Bulent Sariyildiz
Rafael Sampaio de Rezende
Philippe Weinzaepfel
Diane Larlus
G. Csurka
285
0
0
14 Feb 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
Continual Domain Adversarial Adaptation via Double-Head DiscriminatorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yan Shen
Zhanghexuan Ji
Chunwei Ma
Mingchen Gao
TTA
366
3
0
05 Feb 2024
Cloud-Device Collaborative Learning for Multimodal Large Language Models
Cloud-Device Collaborative Learning for Multimodal Large Language Models
Guanqun Wang
Jiaming Liu
Chenxuan Li
Junpeng Ma
Yuan Zhang
...
Kevin Zhang
Maurice Chong
Ray Zhang
Yijiang Liu
Shanghang Zhang
280
21
0
26 Dec 2023
Collaborating Foundation Models for Domain Generalized Semantic
  Segmentation
Collaborating Foundation Models for Domain Generalized Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2023
Yasser Benigmim
Subhankar Roy
S. Essid
Vicky Kalogeiton
Stéphane Lathuilière
454
38
0
15 Dec 2023
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene UnderstandingComputer Vision and Pattern Recognition (CVPR), 2023
Thanh-Dat Truong
Utsav Prabhu
Bhiksha Raj
Jackson Cothren
Khoa Luu
CLL
528
11
0
27 Nov 2023
Algorithmic Fairness Generalization under Covariate and Dependence
  Shifts Simultaneously
Algorithmic Fairness Generalization under Covariate and Dependence Shifts SimultaneouslyKnowledge Discovery and Data Mining (KDD), 2023
Chengli Zhao
Kai Jiang
Xintao Wu
Haoliang Wang
Latifur Khan
Christan Earl Grant
Feng Chen
OOD
245
9
0
23 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey
When Meta-Learning Meets Online and Continual Learning: A Survey
Jaehyeon Son
Soochan Lee
Gunhee Kim
OODCLL
408
25
0
09 Nov 2023
Multivariate Prototype Representation for Domain-Generalized Incremental
  Learning
Multivariate Prototype Representation for Domain-Generalized Incremental LearningComputer Vision and Image Understanding (CVIU), 2023
Can Peng
Piotr Koniusz
Kai Guo
Brian C. Lovell
Peyman Moghadam
CLLOOD
184
5
0
24 Sep 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELMMU
329
99
0
16 Jul 2023
Lifelong Change Detection: Continuous Domain Adaptation for Small Object
  Change Detection in Every Robot Navigation
Lifelong Change Detection: Continuous Domain Adaptation for Small Object Change Detection in Every Robot Navigation
Koji Takeda
Kanji Tanaka
Yoshimasa Nakamura
213
3
0
28 Jun 2023
Fairness Continual Learning Approach to Semantic Scene Understanding in
  Open-World Environments
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World EnvironmentsNeural Information Processing Systems (NeurIPS), 2023
Thanh-Dat Truong
Hoang-Quan Nguyen
Bhiksha Raj
Khoa Luu
CLL
467
23
0
25 May 2023
Exploring Compositional Visual Generation with Latent Classifier
  Guidance
Exploring Compositional Visual Generation with Latent Classifier Guidance
Changhao Shi
Haomiao Ni
Kaican Li
Shaobo Han
Mingfu Liang
Martin Renqiang Min
DiffM
346
14
0
25 Apr 2023
Synthetic Datasets for Autonomous Driving: A Survey
Synthetic Datasets for Autonomous Driving: A SurveyIEEE Transactions on Intelligent Vehicles (TIV), 2023
Zhihang Song
Zimin He
Xingyu Li
Q. Ma
RuiBo Ming
...
Huaxin Pei
Lihui Peng
Jianming Hu
Dingyi Yao
Yan Zhang
316
93
0
24 Apr 2023
Continual Source-Free Unsupervised Domain Adaptation
Continual Source-Free Unsupervised Domain AdaptationInternational Conference on Image Analysis and Processing (ICIAP), 2023
Waqar Ahmed
Pietro Morerio
Vittorio Murino
TTACLL
218
2
0
14 Apr 2023
Does Continual Learning Equally Forget All Parameters?
Does Continual Learning Equally Forget All Parameters?International Conference on Machine Learning (ICML), 2023
Haiyan Zhao
Wanrong Zhu
Guodong Long
Jing Jiang
Chengqi Zhang
CLLKELM
319
20
0
09 Apr 2023
Conditional Image-to-Video Generation with Latent Flow Diffusion Models
Conditional Image-to-Video Generation with Latent Flow Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Haomiao Ni
Changhao Shi
Kaican Li
Sharon X. Huang
Martin Renqiang Min
VGenDiffM
375
235
0
24 Mar 2023
Assessor-Guided Learning for Continual Environments
Assessor-Guided Learning for Continual EnvironmentsInformation Sciences (Inf. Sci.), 2023
M. A. Ma'sum
Mahardhika Pratama
E. Lughofer
Weiping Ding
W. Jatmiko
304
17
0
21 Mar 2023
Open-World Pose Transfer via Sequential Test-Time Adaption
Open-World Pose Transfer via Sequential Test-Time Adaption
Junyang Chen
Xiaoyu Xian
Zhi Yang
Tianshui Chen
Yongyi Lu
Yukai Shi
Jin-shan Pan
Guanbin Li
TTA
214
3
0
20 Mar 2023
Confidence Attention and Generalization Enhanced Distillation for
  Continuous Video Domain Adaptation
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
Xiyu Wang
Yuecong Xu
Jianfei Yang
Xiaoli Li
Zhenghua Chen
TTA
317
1
0
18 Mar 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of ResearchFoundations and Trends in Computer Graphics and Vision (FTCGV), 2023
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
317
85
0
13 Feb 2023
Fake it till you make it: Learning transferable representations from
  synthetic ImageNet clones
Fake it till you make it: Learning transferable representations from synthetic ImageNet clonesComputer Vision and Pattern Recognition (CVPR), 2022
Mert Bulent Sariyildiz
Alahari Karteek
Diane Larlus
Yannis Kalantidis
DiffMVLM
388
209
0
16 Dec 2022
Cloud-Device Collaborative Adaptation to Continual Changing Environments
  in the Real-world
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-worldComputer Vision and Pattern Recognition (CVPR), 2022
Yulu Gan
Mingjie Pan
Rongyu Zhang
Zijian Ling
Lingran Zhao
Jiaming Liu
Shanghang Zhang
VLM
239
21
0
02 Dec 2022
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual
  Perception for Self-Driving Cars
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars
Thanh-Dat Truong
Pierce Helton
A. Moustafa
J. Cothren
Khoa Luu
CLL
417
10
0
01 Dec 2022
LLEDA -- Lifelong Self-Supervised Domain Adaptation
LLEDA -- Lifelong Self-Supervised Domain AdaptationKnowledge-Based Systems (KBS), 2022
Mamatha Thota
Dewei Yi
Georgios Leontidis
CLL
357
9
0
12 Nov 2022
Learning with Style: Continual Semantic Segmentation Across Tasks and
  Domains
Learning with Style: Continual Semantic Segmentation Across Tasks and DomainsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
CLLVLM
273
17
0
13 Oct 2022
Label-Efficient Domain Generalization via Collaborative Exploration and
  Generalization
Label-Efficient Domain Generalization via Collaborative Exploration and GeneralizationACM Multimedia (ACM MM), 2022
Junkun Yuan
Xu Ma
Defang Chen
Kun Kuang
Leilei Gan
Lanfen Lin
229
31
0
07 Aug 2022
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric
  Framework for Exemplar-free Class-Incremental Learning
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning
Chunwei Ma
Zhanghexuan Ji
Ziyun Huang
Yan Shen
Mingchen Gao
Jinhui Xu
319
2
0
28 Jul 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2022
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
Feng Yu
TTA
388
231
0
16 Jun 2022
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in
  Semantic Segmentation
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
A. Saporta
Arthur Douillard
Tuan-Hung Vu
Patrick Pérez
Matthieu Cord
CLL
249
25
0
25 Apr 2022
General Incremental Learning with Domain-aware Categorical
  Representations
General Incremental Learning with Domain-aware Categorical RepresentationsComputer Vision and Pattern Recognition (CVPR), 2022
Jiangwei Xie
Shipeng Yan
Xuming He
OODCLL
427
50
0
08 Apr 2022
On the Road to Online Adaptation for Semantic Image Segmentation
On the Road to Online Adaptation for Semantic Image SegmentationComputer Vision and Pattern Recognition (CVPR), 2022
Riccardo Volpi
Pau de Jorge
Diane Larlus
G. Csurka
OffRL
246
32
0
30 Mar 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2022
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OODTTA
406
636
0
25 Mar 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning
On Generalizing Beyond Domains in Cross-Domain Continual LearningComputer Vision and Pattern Recognition (CVPR), 2022
Christian Simon
M. Faraki
Yi-Hsuan Tsai
Xiang Yu
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Yumin Suh
Mehrtash Harandi
Manmohan Chandraker
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164
44
0
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InCloud: Incremental Learning for Point Cloud Place Recognition
InCloud: Incremental Learning for Point Cloud Place RecognitionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Joshua Knights
Peyman Moghadam
Milad Ramezani
Sridha Sridharan
Clinton Fookes
3DPC
405
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Center Loss Regularization for Continual Learning
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Ekta Gavas
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195
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Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An OverviewIET Computer Vision (ICV), 2021
Haoxuan Qu
Hossein Rahmani
Kepeng Xu
Bryan M. Williams
Jun Liu
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620
103
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Domain Generalization: A Survey
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Transfer Adaptation Learning: A Decade Survey
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436
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1
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